LawQi

Module 7.1 · Topic 4

Disclosure Requirements

Bottom Line Up Front: Disclosure requirements for AI use are evolving. Courts increasingly mandate disclosure, multiple jurisdictions have statutory disclosure requirements, and ABA guidance requires client disclosure…

4.1 The Disclosure Landscape: Federal and State Requirements

Disclosure requirements vary by jurisdiction. Some courts have standing orders requiring disclosure of AI use in filings. Some states have statutes requiring AI disclosure. All jurisdictions follow ABA guidance requiring disclosure to clients when AI use is material to the representation. Create a jurisdiction matrix to track applicable requirements.

Jurisdiction / Rule Disclosure Required? When / To Whom Format / Language
Northern District of Texas Standing Order (Judge Brantley Starr) Yes — Mandatory In all briefs, motions, and filings in this court; disclosed to court and opposing counsel Language: "This brief was prepared with the assistance of [identify AI tool]." Appear in a footnote or prominent location.
Missouri 20th Judicial Circuit Yes — Mandatory In all filings in this circuit; to court and parties Disclosure required; specific language not mandated. Courts recommend: "AI tool [name] was used to assist in [specific task]."
Colorado SB 24-205 (Consumer Protections for AI; effective January 2025) Yes — Statutory Required when AI generates content that affects consumer rights or transactions; to clients / consumers Clear, conspicuous disclosure that AI was used. Statute requires disclosure of "material risks" of the AI system.
California SB 53 (Transparency in Frontier AI Act) (enforcement August 2026) Yes — Statutory (pending enforcement) Reporting requirement: document use of frontier AI systems in legal practice Firms must maintain records and report usage; client disclosure also required for material risks
Illinois AI Notification Regulation Yes — Statutory Applies to "automated decision systems" affecting consumer rights; disclosure to affected parties Notice of AI use; information about how AI is used in decision-making
Utah SB 149 (Artificial Intelligence Policy Act) Yes — Statutory Disclosure of AI use in government-related practice and public reporting Policy disclosures and public reporting; details TBD by agency rule
ABA Model Rules (1.4, 1.6) — Baseline Yes — If material To clients, when AI use is material to representation or creates material risk Clear communication of: (a) what AI is being used for, (b) what risks it creates, (c) why you chose to use it, (d) what oversight you apply

4.2 Court-Mandated AI Certification Rules

Beyond disclosure, some courts now require explicit certification that AI use was responsible and that AI-generated content has been verified. These certification rules are spreading. Identify which courts require what certification and include it in your filing templates.

4.3 Client Disclosure Obligations

Client disclosure is distinct from court disclosure. Clients have the right to know when AI assists their representation, what risks that creates, and what safeguards you apply. ABA Model Rule 1.4 (Communication) requires disclosure of material information affecting representation.

  1. Determine Whether AI Use Is Material to This Representation: Ask: would a reasonable client care about AI use? Examples where disclosure is likely material: (a) legal research is primarily AI-generated rather than attorney-researched, (b) contract analysis relies on AI, (c) litigation strategy involves AI-assisted discovery review. Examples where disclosure may not be material: (a) confidential administrative use of AI to organize case files (no AI touching substantive work), (b) using AI for scheduling or calendar management. When in doubt, disclose.
  2. Check Applicable Statutes and Court Rules: Does your jurisdiction (Colorado, California, others) have a statutory AI disclosure requirement? Does the court require disclosure? California SB 53 will require disclosure when AI creates material risks. If yes, disclose.
  3. Decide Timing: Advance Notice or As-It-Goes: Best practice: obtain informed consent in advance, typically in your engagement letter or fee agreement. Language: "We may use AI tools such as [name] to assist with [specific tasks]. These tools can improve efficiency but carry risks of inaccuracy that we mitigate through [describe verification procedures]. Do you consent to this use?" Advance consent is stronger protection than after-the-fact disclosure.
  4. Draft Clear, Client-Friendly Disclosure Language: Avoid legalese. Example: "We will use ChatGPT to generate initial research memos, which we will review and revise before delivering to you. This speeds our research but may introduce errors, which we check for. The information you provide will not be uploaded to ChatGPT; we use an enterprise-grade version that keeps your information confidential." This language is honest, transparent, and builds client trust.
  5. Document the Disclosure and Client Consent: Keep a copy of the disclosure language and client's written consent (email, signed agreement). This is your evidence that you complied with disclosure obligations if the client later disputes AI use.
  6. Update Disclosure If AI Use Changes: If you add new tools or expand AI use mid-representation, update the disclosure and obtain updated consent. Don't assume prior consent covers new tools or expanded use.

4.4 Emerging Best Practices for Transparency

Best practice exceeds minimum disclosure requirements. Firms that embrace transparency beyond what is legally required build client trust, differentiate in the market, and create stronger defense against malpractice claims. Transparency is a competitive advantage, not a liability.

Consider adopting these emerging best practices: (1) Affirmative disclosure of AI use at the engagement stage—include AI disclosure in every retainer letter as standard, not conditional. (2) Clear explanation of verification processes—tell clients explicitly how you verify AI output, what tools you use to check results, and what safeguards protect against errors. (3) Regular updates on AI use—send clients periodic updates if AI use changes or expands during the engagement. (4) Documentation of verification—for major deliverables, include a verification memo with your work product, explaining what you verified and how. This demonstrates diligence and creates a record of compliance. (5) Transparency on costs—if you use AI to improve efficiency, clearly explain any fee discounts and the cost basis of your services. Clients appreciate honesty about how they benefit from efficiency gains.

The legal market is moving toward a transparency baseline where AI disclosure becomes expected, not exceptional. Early-adopting firms build reputational advantage with clients who value transparency. Clients increasingly ask about AI use, and firms that have clear, documented policies and practices are better positioned to answer confidently. More importantly, transparency-first firms have lower malpractice risk because clients are informed partners in the decision to use AI, not afterthought complainants discovering AI use months later.